机械制造与自动化2017，Vol.46Issue(6)：137-141,5.DOI:10.19344/j.cnki.issn1671-5276.2017.06.038
自适应分数阶微分在面部图像处理中的应用
Application of Adaptive Fractional Differentiation in Facial Image Processing
陈德品 1胡步发1
作者信息
- 1. 福州大学机械工程及自动化学院,福建福州350116
- 折叠
摘要
Abstract
In the process of 3D facial expression recognition,wrinkles and other skin surface texture would affect its accuracy.To localize the facial wrinkles and eliminate the interference,a new wrinkle detecting means is proposed based on adaptive fractional differential mask.An autocorrelation differential mask region is constructed according to the direction of wrinkles.And the fractional differential mask operator,which is improved by image gradient,entropy and contrast,is utilized for enhancing the facial wrinkles adaptively.Then Gabor filter is used to obtain curvilinear shapes of wrinkles and the discrimination rules are defined to minimize the false positive caused by light and skin discolorations.Experimental results show that the proposed method can be used to enhance the facial wrinkles of various depths adaptively,thus improving the detection of light wrinkles and the accuracy and robustness of wrinkle detection through the discrimination rules.关键词
皱纹曲线/皱纹方向/自相关微分掩模区域/自适应分数阶微分掩模算子Key words
curvilinear shapes of wrinkles/direction of wrinkles/autocorrelation fractional differential mask/fractional differential operator分类
信息技术与安全科学引用本文复制引用
陈德品,胡步发..自适应分数阶微分在面部图像处理中的应用[J].机械制造与自动化,2017,46(6):137-141,5.
